Historical dataset of population level and growth rate for the NDjamena, Chad metro area from 1950 to 2025.

Abstract

This dataset contains WASH KAP survey data from interviews conducted on 758 Households in Dec 2022 in the refugee camps of Guilmey and Kalambari in the Chad area of NDJAMENA. As part of its core protection mission, the UNHCR provides Refugees, Asylum Seekers, and other persons of concerns (PoC) and adequate shelters in humanitarian emergency settings. The UNHCR and the wider humanitarian community are more in favour of settlement solutions that offer a seemingly normal life to forcible displace population, other than camps, sites, or settlements. In a well-designed camp, displaced people do not have to walk too far to get food, water, or medical care. Water points and latrines are well-lit and close to homes so that girls and women, especially, will not be exposed to danger. All these arrangements are as well done to prevent the spread of hygiene and sanitation-related diseases in camps. To monitor this important situation the UNHCR regularly organizes Water, Sanitation and Hygiene (WASH) Knowledge, Aptitude, Practises (KAP) surveys that monitor the WASH indicators.

Geographic coverage

NDJAMENA/Tchad

Analysis unit

Household

Universe

Refugees living in Camps and settlements in the area of NDJAMENA

Kind of data

Sample survey data [ssd]

Mode of data collection

Face-to-face [f2f]

Canine rabies transmission was interrupted in N’Djaména, Chad, following two mass vaccination campaigns. However, after nine months cases resurged with re-establishment of endemic rabies transmission to pre-intervention levels. Previous analyses investigated district level spatial heterogeneity of vaccination coverage, and dog density; and importation, identifying the latter as the primary factor for rabies resurgence. Here we assess the impact of individual level heterogeneity on outbreak probability, effectiveness of vaccination campaigns and likely time to resurgence after a campaign. Geo-located contact sensors recorded the location and contacts of 237 domestic dogs in N’Djaména over a period of 3.5 days. The contact network data showed that urban dogs are socially related to larger communities and constrained by the urban architecture. We developed a network generation algorithm that extrapolates this empirical contact network to networks of large dog populations and applied it to simulate rabies transmission in N’Djaména. The model predictions aligned well with the rabies incidence data. Using the model we demonstrated, that major outbreaks are prevented when at least 70% of dogs are vaccinated. The probability of a minor outbreak also decreased with increasing vaccination coverage, but reached zero only when coverage was near total. Our results suggest that endemic rabies in N’Djaména may be explained by a series of importations with subsequent minor outbreaks. We show that highly connected dogs hold a critical role in transmission and that targeted vaccination of such dogs would lead to more efficient vaccination campaigns.